{"as_of":"2026-08-13T11:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:80a20f8c2fea2cb15095984fd872243c5b5066def2bd18fc33e79bd779b3b6a8","coverage":[{"denominator":16,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":16,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-26T17:56:41.086933Z","state":"measured"},{"denominator":16,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":16,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2606.19687/citation-record","integrity":"/paper/2606.19687/integrity","json":"/paper/2606.19687/citation-record.json","paper":"/paper/2606.19687"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T17:56:41.086933Z","title":"Wheel-GINS: A GNSS/INS integrated navigation system with a wheel-mounted IMU,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.19687","last_updated":"2026-06-18T01:24:55Z","snapshot_observed_at":"2026-08-01T15:35:46.018267Z","submitted_at":"2026-06-18T01:24:55Z","title":"Route-Constrained Robust Fusion Estimation for MEMS/GNSS Integrated Navigation of Unmanned Ground Vehicles in GNSS Degraded Environments","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-26T17:56:41.086933Z"},"links":{"citing_paper":"/paper/2606.19687"},"observation_digest":"sha256:c571eece8f0f14fc6bda277b51ac9007378783364cbc4e81b0f674ef3f6521be","observation_id":"3b9aa6d7-54d5-402e-b22e-3f3401093535","resolution":{"observed_at":"2026-06-26T17:56:41.086933Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2504.06015","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-04T03:29:31.374777Z","title":"Robust statistics vs. machine learning vs. Bayesian in- ference: Insights into handling faulty GNSS measurements in field robotics,","venue":null,"work_id":"30fbc53b-090b-4dfb-9206-8e7baf5e95da","year":2025},"citing_paper":{"arxiv_id":"2606.19687","last_updated":"2026-06-18T01:24:55Z","snapshot_observed_at":"2026-08-01T15:35:46.018267Z","submitted_at":"2026-06-18T01:24:55Z","title":"Route-Constrained Robust Fusion Estimation for MEMS/GNSS Integrated Navigation of Unmanned Ground Vehicles in GNSS Degraded Environments","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-26T17:56:41.086933Z"},"links":{"citing_paper":"/paper/2606.19687"},"observation_digest":"sha256:65bdb0312594372c319b23f3aadd17a0f33b227275b840f055b40a6ed19154f5","observation_id":"ba15fe46-6e92-461f-80a0-29c9e5cb40d1","resolution":{"observed_at":"2026-07-04T03:29:31.376777Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T17:56:41.086933Z","title":"GNSS/multisensor fusion using continuous-time factor graph opti- mization for robust localization,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.19687","last_updated":"2026-06-18T01:24:55Z","snapshot_observed_at":"2026-08-01T15:35:46.018267Z","submitted_at":"2026-06-18T01:24:55Z","title":"Route-Constrained Robust Fusion Estimation for MEMS/GNSS Integrated Navigation of Unmanned Ground Vehicles in GNSS Degraded Environments","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-26T17:56:41.086933Z"},"links":{"citing_paper":"/paper/2606.19687"},"observation_digest":"sha256:51a6bc9eb0d9c65f30f145c2ca768298f1e6f7ddda51ae8daec70d22edb1638b","observation_id":"50d26075-07da-41cb-badf-ac1dd32d95f5","resolution":{"observed_at":"2026-06-26T17:56:41.086933Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T17:56:41.086933Z","title":"GNSS/IMU/ODO/LiDAR-SLAM integrated navigation system using IMU/ODO pre-integration,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.19687","last_updated":"2026-06-18T01:24:55Z","snapshot_observed_at":"2026-08-01T15:35:46.018267Z","submitted_at":"2026-06-18T01:24:55Z","title":"Route-Constrained Robust Fusion Estimation for MEMS/GNSS Integrated Navigation of Unmanned Ground Vehicles in GNSS Degraded Environments","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-26T17:56:41.086933Z"},"links":{"citing_paper":"/paper/2606.19687"},"observation_digest":"sha256:0d463064bb66714aec6b7714d9494cf4fc55d59e57638dda0808c6721250e139","observation_id":"e9f26f1f-ea2a-4fa7-85ed-647548e77475","resolution":{"observed_at":"2026-06-26T17:56:41.086933Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T17:56:41.086933Z","title":"Robust GNSS shadow matching for smartphones in urban canyons,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.19687","last_updated":"2026-06-18T01:24:55Z","snapshot_observed_at":"2026-08-01T15:35:46.018267Z","submitted_at":"2026-06-18T01:24:55Z","title":"Route-Constrained Robust Fusion Estimation for MEMS/GNSS Integrated Navigation of Unmanned Ground Vehicles in GNSS Degraded Environments","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-26T17:56:41.086933Z"},"links":{"citing_paper":"/paper/2606.19687"},"observation_digest":"sha256:e11082082c1309f77f7fc96c80fd5ee31811dc0b22f96d434f3bf082c8fede9a","observation_id":"6f0eec02-deee-469c-871e-7afabdc887e9","resolution":{"observed_at":"2026-06-26T17:56:41.086933Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T17:56:41.086933Z","title":"3D vision aided GNSS real-time kinematic positioning for autonomous systems in urban canyons,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.19687","last_updated":"2026-06-18T01:24:55Z","snapshot_observed_at":"2026-08-01T15:35:46.018267Z","submitted_at":"2026-06-18T01:24:55Z","title":"Route-Constrained Robust Fusion Estimation for MEMS/GNSS Integrated Navigation of Unmanned Ground Vehicles in GNSS Degraded Environments","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-26T17:56:41.086933Z"},"links":{"citing_paper":"/paper/2606.19687"},"observation_digest":"sha256:17af2ce96df17256a5f3310aabe41ac54c6da245592b6fd9c555c5f2afebc6f1","observation_id":"ea337c39-a14d-4b7d-9fc3-7896215e0402","resolution":{"observed_at":"2026-06-26T17:56:41.086933Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T17:56:41.086933Z","title":"3- D LiDAR-aided GNSS NLOS mitigation for reliable GNSS-RTK positioning in urban canyons,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.19687","last_updated":"2026-06-18T01:24:55Z","snapshot_observed_at":"2026-08-01T15:35:46.018267Z","submitted_at":"2026-06-18T01:24:55Z","title":"Route-Constrained Robust Fusion Estimation for MEMS/GNSS Integrated Navigation of Unmanned Ground Vehicles in GNSS Degraded Environments","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-26T17:56:41.086933Z"},"links":{"citing_paper":"/paper/2606.19687"},"observation_digest":"sha256:548fd0ae57d928c418d15ce59b09e784846f972c7a9f931a0c68fb741b58b2da","observation_id":"8c93232f-29c5-4f66-8691-3a5bc41469ce","resolution":{"observed_at":"2026-06-26T17:56:41.086933Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T17:56:41.086933Z","title":"ULOC: Learning to localize in complex large-scale environments with ultra- wideband ranges,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.19687","last_updated":"2026-06-18T01:24:55Z","snapshot_observed_at":"2026-08-01T15:35:46.018267Z","submitted_at":"2026-06-18T01:24:55Z","title":"Route-Constrained Robust Fusion Estimation for MEMS/GNSS Integrated Navigation of Unmanned Ground Vehicles in GNSS Degraded Environments","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-26T17:56:41.086933Z"},"links":{"citing_paper":"/paper/2606.19687"},"observation_digest":"sha256:76d449562c0272e8e6ee6431f1f6aa2f230280aaa6bdeaa3ee7ad00d7c14d07a","observation_id":"c35a79fb-050e-41ea-adcb-eae46bf3e6d5","resolution":{"observed_at":"2026-06-26T17:56:41.086933Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T17:56:41.086933Z","title":"3D mapping database-aided GNSS RTK and its assessments in urban canyons,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.19687","last_updated":"2026-06-18T01:24:55Z","snapshot_observed_at":"2026-08-01T15:35:46.018267Z","submitted_at":"2026-06-18T01:24:55Z","title":"Route-Constrained Robust Fusion Estimation for MEMS/GNSS Integrated Navigation of Unmanned Ground Vehicles in GNSS Degraded Environments","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-26T17:56:41.086933Z"},"links":{"citing_paper":"/paper/2606.19687"},"observation_digest":"sha256:d78bdfa96ae01b835f9d458beb44042b2e1f600957ade0939276bb038b8236b0","observation_id":"d6d2b9c7-fadb-4d26-b5d9-e64a95d33203","resolution":{"observed_at":"2026-06-26T17:56:41.086933Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T17:56:41.086933Z","title":"The path inference filter: Model-based low-latency map matching of probe vehicle data,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2606.19687","last_updated":"2026-06-18T01:24:55Z","snapshot_observed_at":"2026-08-01T15:35:46.018267Z","submitted_at":"2026-06-18T01:24:55Z","title":"Route-Constrained Robust Fusion Estimation for MEMS/GNSS Integrated Navigation of Unmanned Ground Vehicles in GNSS Degraded Environments","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-26T17:56:41.086933Z"},"links":{"citing_paper":"/paper/2606.19687"},"observation_digest":"sha256:6fda4e69e55eb7607a2b18285b0fcf3155c666adeaf6d7498484e783f86fa6bc","observation_id":"eb67e415-4fed-4fac-b37f-c68eff384ce4","resolution":{"observed_at":"2026-06-26T17:56:41.086933Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T17:56:41.086933Z","title":"Robust ve- hicular localization and map matching in urban environments through IMU, GNSS, and cellular signals,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.19687","last_updated":"2026-06-18T01:24:55Z","snapshot_observed_at":"2026-08-01T15:35:46.018267Z","submitted_at":"2026-06-18T01:24:55Z","title":"Route-Constrained Robust Fusion Estimation for MEMS/GNSS Integrated Navigation of Unmanned Ground Vehicles in GNSS Degraded Environments","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-26T17:56:41.086933Z"},"links":{"citing_paper":"/paper/2606.19687"},"observation_digest":"sha256:c9e4a69b1c7c28a4c13f283d634f97b1788acb1c17f944832947e8b76a5c6861","observation_id":"36b0b356-3991-4904-89c0-42fceb20519e","resolution":{"observed_at":"2026-06-26T17:56:41.086933Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T17:56:41.086933Z","title":"Factor graph optimization for GNSS/INS integration: A comparison with the extended Kalman filter,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.19687","last_updated":"2026-06-18T01:24:55Z","snapshot_observed_at":"2026-08-01T15:35:46.018267Z","submitted_at":"2026-06-18T01:24:55Z","title":"Route-Constrained Robust Fusion Estimation for MEMS/GNSS Integrated Navigation of Unmanned Ground Vehicles in GNSS Degraded Environments","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-26T17:56:41.086933Z"},"links":{"citing_paper":"/paper/2606.19687"},"observation_digest":"sha256:d93150bf353b81887bdff19fec3e2668d8132d7082937ce6a00166a2e3dd7068","observation_id":"a3947463-76b4-48bf-9bf6-eec47ebb8a79","resolution":{"observed_at":"2026-06-26T17:56:41.086933Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T17:56:41.086933Z","title":"GNSS outlier mitigation via grad- uated non-convexity factor graph optimization,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.19687","last_updated":"2026-06-18T01:24:55Z","snapshot_observed_at":"2026-08-01T15:35:46.018267Z","submitted_at":"2026-06-18T01:24:55Z","title":"Route-Constrained Robust Fusion Estimation for MEMS/GNSS Integrated Navigation of Unmanned Ground Vehicles in GNSS Degraded Environments","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-26T17:56:41.086933Z"},"links":{"citing_paper":"/paper/2606.19687"},"observation_digest":"sha256:c9225311655c6661b9a3719c7369633a5655c36d95eba6e5b296148224254ece","observation_id":"30d7f3c8-8309-4590-8e16-e9026ccf8e95","resolution":{"observed_at":"2026-06-26T17:56:41.086933Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T17:56:41.086933Z","title":"High accuracy tightly-coupled integrity monitoring algorithm for map-matching,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2606.19687","last_updated":"2026-06-18T01:24:55Z","snapshot_observed_at":"2026-08-01T15:35:46.018267Z","submitted_at":"2026-06-18T01:24:55Z","title":"Route-Constrained Robust Fusion Estimation for MEMS/GNSS Integrated Navigation of Unmanned Ground Vehicles in GNSS Degraded Environments","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-26T17:56:41.086933Z"},"links":{"citing_paper":"/paper/2606.19687"},"observation_digest":"sha256:5921097bd32a7f5b2d7f2efc8905a4d43d39ea0b528ad0842371a1439f905cec","observation_id":"7c15a8eb-fdce-4319-a60e-0df533a166e0","resolution":{"observed_at":"2026-06-26T17:56:41.086933Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T17:56:41.086933Z","title":"GNSS-RTK adaptively integrated with LiDAR/IMU odometry for continuously global posi- tioning in urban canyons,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.19687","last_updated":"2026-06-18T01:24:55Z","snapshot_observed_at":"2026-08-01T15:35:46.018267Z","submitted_at":"2026-06-18T01:24:55Z","title":"Route-Constrained Robust Fusion Estimation for MEMS/GNSS Integrated Navigation of Unmanned Ground Vehicles in GNSS Degraded Environments","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-26T17:56:41.086933Z"},"links":{"citing_paper":"/paper/2606.19687"},"observation_digest":"sha256:890e760e1e75e47c2efb75afc032d158e1f6ed49e0f903544489012e04b48838","observation_id":"3a999fe4-22db-4f3d-993d-853abece39c2","resolution":{"observed_at":"2026-06-26T17:56:41.086933Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T17:56:41.086933Z","title":"Trajectory smoothing us- ing GNSS/PDR integration via factor graph optimization in urban canyons,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.19687","last_updated":"2026-06-18T01:24:55Z","snapshot_observed_at":"2026-08-01T15:35:46.018267Z","submitted_at":"2026-06-18T01:24:55Z","title":"Route-Constrained Robust Fusion Estimation for MEMS/GNSS Integrated Navigation of Unmanned Ground Vehicles in GNSS Degraded Environments","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-26T17:56:41.086933Z"},"links":{"citing_paper":"/paper/2606.19687"},"observation_digest":"sha256:32931d1de3ad42a34df941100bf31920d9672bb15679e9a1372675e32cd38668","observation_id":"90b680e4-6326-4a46-833f-fe099a580f3a","resolution":{"observed_at":"2026-06-26T17:56:41.086933Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2606.19687","last_updated":"2026-06-18T01:24:55Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-01T15:35:46.018267Z","submitted_at":"2026-06-18T01:24:55Z","title":"Route-Constrained Robust Fusion Estimation for MEMS/GNSS Integrated Navigation of Unmanned Ground Vehicles in GNSS Degraded Environments"},"reference_resolution":{"displayed":16,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":15,"verified_exact":1,"verified_fuzzy":0},"total_outbound_references":16},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2606.19687."}